Learning from Data Streams in Evolving Environments: Methods and Applications (Studies in Big Data)
by: Moamar Sayed-Mouchaweh
ISBN-10: 3319898027
ISBN-13: 9783319898025
Edition 版本: 1st ed. 2019
Released: 2018-07-29
Pages: 317 pages
This edited book covers recent advances of techniques,methods and tools treating the problem of learning from data streams generated by evolving non-stationary processes. The goal is to discuss and overview the advanced techniques,methods and tools that are dedicated to manage,exploit and interpret data streams in non-stationary environments. The book includes the required notions,definitions,and background to understand the problem of learning from data streams in non-stationary environments and synthesizes the state-of-the-art in the domain,discussing advanced aspects and concepts and presenting open problems and future challenges in this field.
Provides multiple examples to facilitate the understanding data streams in non-stationary environments;
Presents several application cases to show how the methods solve different real world problems;
Discusses the links between methods to help stimulate new research and application directions.
Learning from Data Streams in Evolving Environments
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